{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Check dragon nodes on PANDA\n",
    "\n",
    "In this notebook we will use the TFs that were found to have \"differential\" correlation between the CMS2 and CMS4\n",
    "subtypes to interrogate the PANDA networks.\n",
    "\n",
    "First we will define some common filenames and functions.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "import scipy.stats as stats\n",
    "import os\n",
    "\n",
    "# import all functions from utils.py that is inside src folder\n",
    "from src.utils import *\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mapping of genes with the gencode names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we need to map TF names and symbols to ensembl IDs\n",
    "ens2sym, sym2ens = get_gencode_maps(gencode_fn = \"../data/external/gen_v26_mapping.csv\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We read the PANDA networks. Here we are only focusing on CMS2 and CMS4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "panda_fn  = {#'cms1':'../data/processed/batch-coad-subtype-20240510/tcga_coad_cms1/analysis/panda/panda_tcga_coad_cms1.txt',\n",
    "             'cms2': '../data/processed/batch-coad-subtype-20240510/tcga_coad_cms2/analysis/panda/panda_tcga_coad_cms2.txt',\n",
    "             #'cms3': '../data/processed/batch-coad-subtype-20240510/tcga_coad_cms3/analysis/panda/panda_tcga_coad_cms3.txt',\n",
    "             'cms4': '../data/processed/batch-coad-subtype-20240510/tcga_coad_cms4/analysis/panda/panda_tcga_coad_cms4.txt'}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "cms2\n",
      "cms4\n"
     ]
    }
   ],
   "source": [
    "# read PANDA\n",
    "pandas = read_pandas(panda_fn)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "# we need to keep track of the TF names for later, and we are going to check those that are common between CMS2 and CMS4\n",
    "tf_pandas_shared = set(pandas['cms2'].index.tolist()).intersection(set(pandas['cms4'].index.tolist()))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We need the cluster names generated by the `colon_subtype_dragons` notebook. We provide them alongside the code. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "clusters = {'cluster_A':'../results/cms-post/all_cms_dragon_clustA.csv',\n",
    "            'cluster_D':'../results/cms-post/all_cms_dragon_clustD.csv',}"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specify output folder: if the folder doesn't exist it is created"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Folder exists\n"
     ]
    }
   ],
   "source": [
    "output_folder = '../results/cms-post/'\n",
    "# make folder if it does not exist\n",
    "if not os.path.exists(output_folder):\n",
    "    os.makedirs(output_folder)\n",
    "else:\n",
    "    print('Folder exists')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here we will choose a cluster (A or D)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Specify which cluster we are going to use (either cluster A or D)\n",
    "cluster_name = 'cluster_D'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Files will be saved in a subfolder with the cluster name\n",
    "panda_folder = output_folder + cluster_name + '_panda/'\n",
    "if not os.path.exists(panda_folder):\n",
    "    os.makedirs(panda_folder)\n",
    "\n",
    "# Read the cluster file and get the TFs of interest\n",
    "ca = pd.read_csv(clusters[cluster_name], index_col=0)\n",
    "# The table keeps all edges from the TF of interest, then we have to subselect only the edges of interest\n",
    "tf_ca = set(ca[ca['oi']==True]['node1_tf'].tolist() + ca[ca['oi']==True]['node2_tf'].tolist())\n",
    "# These would be the TFs for which we have looked into the expression\n",
    "tf_expression = set(ca[ca['oi']==True]['node2_tf'].tolist())\n",
    "\n",
    "\n",
    "## If we want to use all tf of interest in the two clusters\n",
    "#ca = pd.read_csv(clusters['cluster_A'], index_col=0)\n",
    "#cd = pd.read_csv(clusters['cluster_D'], index_col=0)\n",
    "#tf_ca = set(ca[ca['oi']==True]['node1_tf'].tolist() + ca[ca['oi']==True]['node2_tf'].tolist())\n",
    "#tf_cd = set(cd[cd['oi']==True]['node1_tf'].tolist() + cd[cd['oi']==True]['node2_tf'].tolist())\n",
    "# tf_ca = tf_ca.union(tf_cd)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Check PANDA network for TFs of interest\n",
    "\n",
    "We have extracted the TFs of interest for the cluster specified, now we check what targets of TFs have undergone the\n",
    "biggest changes between the two subtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tf</th>\n",
       "      <th>ens</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZNF22</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>0.394852</td>\n",
       "      <td>0.240355</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SNAI1</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-2.223053</td>\n",
       "      <td>-1.701406</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZNF562</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-0.055540</td>\n",
       "      <td>-0.241510</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-3.244713</td>\n",
       "      <td>-2.810270</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZNF501</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-0.966434</td>\n",
       "      <td>-0.704894</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648412</th>\n",
       "      <td>ZNF28</td>\n",
       "      <td>ENSG00000284594</td>\n",
       "      <td>6.897727</td>\n",
       "      <td>6.856672</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648413</th>\n",
       "      <td>EGR3</td>\n",
       "      <td>ENSG00000284594</td>\n",
       "      <td>0.770813</td>\n",
       "      <td>0.853047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648414</th>\n",
       "      <td>PITX1</td>\n",
       "      <td>ENSG00000284594</td>\n",
       "      <td>-0.719721</td>\n",
       "      <td>-0.723587</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648415</th>\n",
       "      <td>ZNF223</td>\n",
       "      <td>ENSG00000284594</td>\n",
       "      <td>1.180767</td>\n",
       "      <td>1.195996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>648416</th>\n",
       "      <td>ZFP82</td>\n",
       "      <td>ENSG00000284594</td>\n",
       "      <td>-0.927386</td>\n",
       "      <td>-0.984237</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>648417 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            tf              ens      cms2      cms4\n",
       "0        ZNF22  ENSG00000000003  0.394852  0.240355\n",
       "1        SNAI1  ENSG00000000003 -2.223053 -1.701406\n",
       "2       ZNF562  ENSG00000000003 -0.055540 -0.241510\n",
       "3        KLF10  ENSG00000000003 -3.244713 -2.810270\n",
       "4       ZNF501  ENSG00000000003 -0.966434 -0.704894\n",
       "...        ...              ...       ...       ...\n",
       "648412   ZNF28  ENSG00000284594  6.897727  6.856672\n",
       "648413    EGR3  ENSG00000284594  0.770813  0.853047\n",
       "648414   PITX1  ENSG00000284594 -0.719721 -0.723587\n",
       "648415  ZNF223  ENSG00000284594  1.180767  1.195996\n",
       "648416   ZFP82  ENSG00000284594 -0.927386 -0.984237\n",
       "\n",
       "[648417 rows x 4 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# get only edges for tf from dragon\n",
    "cms2_dragon = pandas['cms2'].loc[list(set(tf_pandas_shared).intersection(tf_ca)),:].melt(ignore_index = False, var_name = 'ens', value_name = 'cms2').reset_index()\n",
    "cms4_dragon = pandas['cms4'].loc[list(set(tf_pandas_shared).intersection(tf_ca)),:].melt(ignore_index = False, var_name = 'ens', value_name = 'cms4').reset_index()\n",
    "\n",
    "# Get long table for values\n",
    "values_cms = cms2_dragon.merge(cms4_dragon, on = ['tf', 'ens'], how = 'inner')\n",
    "\n",
    "values_cms "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tf</th>\n",
       "      <th>ens</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>value_cms2_cms4</th>\n",
       "      <th>value_cms2_cms4_abs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZNF22</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>0.394852</td>\n",
       "      <td>0.240355</td>\n",
       "      <td>0.154497</td>\n",
       "      <td>0.154497</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SNAI1</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-2.223053</td>\n",
       "      <td>-1.701406</td>\n",
       "      <td>-0.521647</td>\n",
       "      <td>0.521647</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZNF562</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-0.055540</td>\n",
       "      <td>-0.241510</td>\n",
       "      <td>0.185969</td>\n",
       "      <td>0.185969</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-3.244713</td>\n",
       "      <td>-2.810270</td>\n",
       "      <td>-0.434443</td>\n",
       "      <td>0.434443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZNF501</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>-0.966434</td>\n",
       "      <td>-0.704894</td>\n",
       "      <td>-0.261540</td>\n",
       "      <td>0.261540</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       tf              ens      cms2      cms4  value_cms2_cms4  \\\n",
       "0   ZNF22  ENSG00000000003  0.394852  0.240355         0.154497   \n",
       "1   SNAI1  ENSG00000000003 -2.223053 -1.701406        -0.521647   \n",
       "2  ZNF562  ENSG00000000003 -0.055540 -0.241510         0.185969   \n",
       "3   KLF10  ENSG00000000003 -3.244713 -2.810270        -0.434443   \n",
       "4  ZNF501  ENSG00000000003 -0.966434 -0.704894        -0.261540   \n",
       "\n",
       "   value_cms2_cms4_abs  \n",
       "0             0.154497  \n",
       "1             0.521647  \n",
       "2             0.185969  \n",
       "3             0.434443  \n",
       "4             0.261540  "
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get difference between the actual PANDA edge values\n",
    "values_cms['value_cms2_cms4'] = values_cms['cms2'] - values_cms['cms4']\n",
    "values_cms['value_cms2_cms4_abs'] = np.abs(values_cms['value_cms2_cms4'])\n",
    "values_cms.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tf</th>\n",
       "      <th>ens</th>\n",
       "      <th>rank_cms2</th>\n",
       "      <th>rank_cms4</th>\n",
       "      <th>rank_cms2_cms4</th>\n",
       "      <th>rank_cms2_cms4_abs</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ZNF22</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>7839.0</td>\n",
       "      <td>7472.0</td>\n",
       "      <td>367.0</td>\n",
       "      <td>367.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SNAI1</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>2871.0</td>\n",
       "      <td>6019.0</td>\n",
       "      <td>-3148.0</td>\n",
       "      <td>3148.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ZNF562</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>12388.0</td>\n",
       "      <td>10723.0</td>\n",
       "      <td>1665.0</td>\n",
       "      <td>1665.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>2074.0</td>\n",
       "      <td>3898.0</td>\n",
       "      <td>-1824.0</td>\n",
       "      <td>1824.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ZNF501</td>\n",
       "      <td>ENSG00000000003</td>\n",
       "      <td>4790.0</td>\n",
       "      <td>8114.0</td>\n",
       "      <td>-3324.0</td>\n",
       "      <td>3324.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       tf              ens  rank_cms2  rank_cms4  rank_cms2_cms4  \\\n",
       "0   ZNF22  ENSG00000000003     7839.0     7472.0           367.0   \n",
       "1   SNAI1  ENSG00000000003     2871.0     6019.0         -3148.0   \n",
       "2  ZNF562  ENSG00000000003    12388.0    10723.0          1665.0   \n",
       "3   KLF10  ENSG00000000003     2074.0     3898.0         -1824.0   \n",
       "4  ZNF501  ENSG00000000003     4790.0     8114.0         -3324.0   \n",
       "\n",
       "   rank_cms2_cms4_abs  \n",
       "0               367.0  \n",
       "1              3148.0  \n",
       "2              1665.0  \n",
       "3              1824.0  \n",
       "4              3324.0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Get long table for ranks (for each tf rank the genes)\n",
    "# We do the same as before but we compare ranks, instead of actual values\n",
    "rank_cms2 = pandas['cms2'].loc[list(set(tf_pandas_shared).intersection(tf_ca)),:].rank(axis = 1).melt(ignore_index = False, var_name = 'ens', value_name = 'rank_cms2').reset_index()\n",
    "rank_cms4 = pandas['cms4'].loc[list(set(tf_pandas_shared).intersection(tf_ca)),:].rank(axis = 1).melt(ignore_index = False, var_name = 'ens', value_name = 'rank_cms4').reset_index()\n",
    "# we aenk the values and differences\n",
    "rank_cms = rank_cms2.merge(rank_cms4, on = ['tf', 'ens'], how = 'inner')\n",
    "rank_cms['rank_cms2_cms4'] = rank_cms['rank_cms2'] - rank_cms['rank_cms4']\n",
    "rank_cms['rank_cms2_cms4_abs'] = np.abs(rank_cms['rank_cms2_cms4'])\n",
    "rank_cms.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
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       "      <th></th>\n",
       "      <th>tf</th>\n",
       "      <th>ens</th>\n",
       "      <th>rank_cms2</th>\n",
       "      <th>rank_cms4</th>\n",
       "      <th>rank_cms2_cms4</th>\n",
       "      <th>rank_cms2_cms4_abs</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>value_cms2_cms4</th>\n",
       "      <th>value_cms2_cms4_abs</th>\n",
       "      <th>symbol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>489042</th>\n",
       "      <td>ZNF584</td>\n",
       "      <td>ENSG00000225315</td>\n",
       "      <td>12927.0</td>\n",
       "      <td>2925.0</td>\n",
       "      <td>10002.0</td>\n",
       "      <td>10002.0</td>\n",
       "      <td>1.533170</td>\n",
       "      <td>-3.013996</td>\n",
       "      <td>4.547166e+00</td>\n",
       "      <td>4.547166e+00</td>\n",
       "      <td>RP11-293P20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643338</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000281383</td>\n",
       "      <td>18418.0</td>\n",
       "      <td>11609.0</td>\n",
       "      <td>6809.0</td>\n",
       "      <td>6809.0</td>\n",
       "      <td>5.178980</td>\n",
       "      <td>0.959655</td>\n",
       "      <td>4.219325e+00</td>\n",
       "      <td>4.219325e+00</td>\n",
       "      <td>CH507-513H4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262287</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000152580</td>\n",
       "      <td>4230.0</td>\n",
       "      <td>13488.0</td>\n",
       "      <td>-9258.0</td>\n",
       "      <td>9258.0</td>\n",
       "      <td>-2.665551</td>\n",
       "      <td>1.503873</td>\n",
       "      <td>-4.169424e+00</td>\n",
       "      <td>4.169424e+00</td>\n",
       "      <td>IGSF10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>643350</th>\n",
       "      <td>ZNF584</td>\n",
       "      <td>ENSG00000281383</td>\n",
       "      <td>3450.0</td>\n",
       "      <td>12399.0</td>\n",
       "      <td>-8949.0</td>\n",
       "      <td>8949.0</td>\n",
       "      <td>-2.858062</td>\n",
       "      <td>1.297587</td>\n",
       "      <td>-4.155649e+00</td>\n",
       "      <td>4.155649e+00</td>\n",
       "      <td>CH507-513H4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46545</th>\n",
       "      <td>ZNF584</td>\n",
       "      <td>ENSG00000083454</td>\n",
       "      <td>2658.0</td>\n",
       "      <td>11698.0</td>\n",
       "      <td>-9040.0</td>\n",
       "      <td>9040.0</td>\n",
       "      <td>-3.067578</td>\n",
       "      <td>1.087887</td>\n",
       "      <td>-4.155464e+00</td>\n",
       "      <td>4.155464e+00</td>\n",
       "      <td>P2RX5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177193</th>\n",
       "      <td>PKNOX1</td>\n",
       "      <td>ENSG00000130775</td>\n",
       "      <td>19804.0</td>\n",
       "      <td>20137.0</td>\n",
       "      <td>-333.0</td>\n",
       "      <td>333.0</td>\n",
       "      <td>4.363594</td>\n",
       "      <td>4.363593</td>\n",
       "      <td>7.749489e-07</td>\n",
       "      <td>7.749489e-07</td>\n",
       "      <td>THEMIS2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>234095</th>\n",
       "      <td>PAX1</td>\n",
       "      <td>ENSG00000143633</td>\n",
       "      <td>930.0</td>\n",
       "      <td>1515.0</td>\n",
       "      <td>-585.0</td>\n",
       "      <td>585.0</td>\n",
       "      <td>-1.134697</td>\n",
       "      <td>-1.134696</td>\n",
       "      <td>-5.284468e-07</td>\n",
       "      <td>5.284468e-07</td>\n",
       "      <td>C1orf131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>180323</th>\n",
       "      <td>BATF</td>\n",
       "      <td>ENSG00000131495</td>\n",
       "      <td>11142.0</td>\n",
       "      <td>11272.0</td>\n",
       "      <td>-130.0</td>\n",
       "      <td>130.0</td>\n",
       "      <td>-0.308340</td>\n",
       "      <td>-0.308341</td>\n",
       "      <td>3.559066e-07</td>\n",
       "      <td>3.559066e-07</td>\n",
       "      <td>NDUFA2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>290654</th>\n",
       "      <td>GATA3</td>\n",
       "      <td>ENSG00000162069</td>\n",
       "      <td>3720.0</td>\n",
       "      <td>3370.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>350.0</td>\n",
       "      <td>-1.469131</td>\n",
       "      <td>-1.469130</td>\n",
       "      <td>-2.349482e-07</td>\n",
       "      <td>2.349482e-07</td>\n",
       "      <td>BICDL2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>540776</th>\n",
       "      <td>MYOG</td>\n",
       "      <td>ENSG00000242159</td>\n",
       "      <td>14686.0</td>\n",
       "      <td>14620.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>0.199381</td>\n",
       "      <td>0.199380</td>\n",
       "      <td>8.558442e-08</td>\n",
       "      <td>8.558442e-08</td>\n",
       "      <td>ABCF2P1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>648417 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            tf              ens  rank_cms2  rank_cms4  rank_cms2_cms4  \\\n",
       "489042  ZNF584  ENSG00000225315    12927.0     2925.0         10002.0   \n",
       "643338   KLF10  ENSG00000281383    18418.0    11609.0          6809.0   \n",
       "262287   KLF10  ENSG00000152580     4230.0    13488.0         -9258.0   \n",
       "643350  ZNF584  ENSG00000281383     3450.0    12399.0         -8949.0   \n",
       "46545   ZNF584  ENSG00000083454     2658.0    11698.0         -9040.0   \n",
       "...        ...              ...        ...        ...             ...   \n",
       "177193  PKNOX1  ENSG00000130775    19804.0    20137.0          -333.0   \n",
       "234095    PAX1  ENSG00000143633      930.0     1515.0          -585.0   \n",
       "180323    BATF  ENSG00000131495    11142.0    11272.0          -130.0   \n",
       "290654   GATA3  ENSG00000162069     3720.0     3370.0           350.0   \n",
       "540776    MYOG  ENSG00000242159    14686.0    14620.0            66.0   \n",
       "\n",
       "        rank_cms2_cms4_abs      cms2      cms4  value_cms2_cms4  \\\n",
       "489042             10002.0  1.533170 -3.013996     4.547166e+00   \n",
       "643338              6809.0  5.178980  0.959655     4.219325e+00   \n",
       "262287              9258.0 -2.665551  1.503873    -4.169424e+00   \n",
       "643350              8949.0 -2.858062  1.297587    -4.155649e+00   \n",
       "46545               9040.0 -3.067578  1.087887    -4.155464e+00   \n",
       "...                    ...       ...       ...              ...   \n",
       "177193               333.0  4.363594  4.363593     7.749489e-07   \n",
       "234095               585.0 -1.134697 -1.134696    -5.284468e-07   \n",
       "180323               130.0 -0.308340 -0.308341     3.559066e-07   \n",
       "290654               350.0 -1.469131 -1.469130    -2.349482e-07   \n",
       "540776                66.0  0.199381  0.199380     8.558442e-08   \n",
       "\n",
       "        value_cms2_cms4_abs         symbol  \n",
       "489042         4.547166e+00  RP11-293P20.2  \n",
       "643338         4.219325e+00  CH507-513H4.5  \n",
       "262287         4.169424e+00         IGSF10  \n",
       "643350         4.155649e+00  CH507-513H4.5  \n",
       "46545          4.155464e+00          P2RX5  \n",
       "...                     ...            ...  \n",
       "177193         7.749489e-07        THEMIS2  \n",
       "234095         5.284468e-07       C1orf131  \n",
       "180323         3.559066e-07         NDUFA2  \n",
       "290654         2.349482e-07         BICDL2  \n",
       "540776         8.558442e-08        ABCF2P1  \n",
       "\n",
       "[648417 rows x 11 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# merge the two tables\n",
    "panda_rank = rank_cms.merge(values_cms, on = ['tf', 'ens'])\n",
    "panda_rank['symbol'] = panda_rank['ens'].map(ens2sym)\n",
    "panda_rank.sort_values('value_cms2_cms4_abs', ascending = False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "##### Select targets that vary a lot in value and in rank\n",
    "\n",
    "For each TF, we have edges towards all targets. We are interested in finding the targets of the tfs of interest that\n",
    "change \"probability\" of connection a lot between CMS2 and CMS4.\n",
    "1. We assume that a gene is a TF target in that PANDA\n",
    "network if its edge has value > 1, ence we select only edges that have values larger than 1 in either CMS2 or CMS4.\n",
    "2. Out of these targets, we select those for which the ranking between CMS2 and CMS4 is high (we'll check below the\n",
    "   percentile thresholds)\n",
    "3. We also select the targets for which there is a difference of at least 1 between CMS2 and CMS4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "990.0 2090.0\n"
     ]
    },
    {
     "data": {
      "image/png": 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rZebMmRo7dmyd8by8PMXHx9fr/AAAgG/z2ZA0fPhw959nz56tDRs2aNu2bZo1a5b8/f1VVlbmsX1paansdrsk1amXlpZKkux2+yX3tRISEqKQkJCrPicAANB8NJuvAGjRooWMMZKkiIgI5eTkuGslJSUqKChQRESEZT07O1vdu3dXYGCg+vbtK5vN5rGeKDs7270vAACA5OWQVFNTo9OnT6umpka1tbU6ffq0qqurVVBQoMzMTJ05c0ZnzpzRiy++qA8++ECxsbGSpPj4eG3btk27du1SZWWlFi5cqKFDh8rpdEqSpk2bpuXLl+vo0aMqLi5WSkqKpk+fLkny8/PTxIkTtWDBApWXlysnJ0dr1qxRQkKC1+YBAAD4Hq+GpJSUFLVr105Lly5VRkaG2rVrpxkzZqiiokLz5s1TUFCQunTpopdffllbt251h6Dw8HCtXr1aiYmJ6tixow4ePKj169e7j5uYmKjJkycrOjpaTqdTUVFRSk5OdtdXrFghm82mkJAQxcXFacmSJRo1alSTnz8AAPBdNnPuHhau2P79+xUdHa2srCzdcsst3m5He/bs0cLXXQp2RkqSivNzteSuCMXExHi5MwAAfMflvn83mzVJAAAATYmQBAAAYIGQBAAAYIGQBAAAYIGQBAAAYIGQBAAAYIGQBAAAYIGQBAAAYMFnf+AWF1dVVaWsrCyPsdzcXNXWeqkhAACuMfUKSe+8845iYmLUqpXn7jU1NdqzZ4+++93vNkhzuLCsrCw9mPq6HN2c7rFj2Znq0Dvai10BAHDtqFdIGjlypIqKivStb33LY7y0tFQjR47U2bNnG6Q5XJyjm9P9EySSdLIw34vdAABwbanXmiRjjGw2W53xI0eOKCAg4KqbAgAA8LYrupLUq1cv2Ww22Ww2DRo0SC1btnTXzp49q88//1z33HNPgzcJAADQ1K4oJCUnJ8sYox//+Md6+OGHPa4atW7dWj179mQ9EgAAuCZcUUh64IEHJEl9+vRRTEyMWrdu3ShNAQAAeFu9Fm7fdtttqqmp0UcffaQvvvhCted97nzUqFEN0hwAAIC31Csk7d69W/fdd5+OHz9ep2az2fh0GwAAaPbq9em2uXPn6o477tDx48dVW1vr8SAgAQCAa0G9QlJBQYF+/vOfq0uXLg3dDwAAgE+oV0i6/fbbtXfv3obuBQAAwGfUa03SkCFD9LOf/Ux79+5VREREnU+5TZ8+vUGaAwAA8JZ6haTnn39ebdu21datW7V161aPms1mIyQBAIBmr14h6d///ndD9wEAAOBT6rUmCQAA4FpXrytJ999//0Xrr7zySr2aAQAA8BX1upLUsmVLj0dtba1ycnL0+uuve/zoLQAAQHNVrytJ6enpluOPPfaYjDFX1RAAAIAvaNA1SQkJCfr973/fkIcEAADwigYNSTt27FD79u0b8pAAAABeUa/bbd/5zndks9ncz40x+uyzz3T48GEtX768wZoDAADwlnqFpNGjR3s8b9GihTp16qTvfOc76t+/f4M0BgAA4E31CkmLFi1q6D4AAAB8Sr1CkiRVVFRo7dq1OnjwoCQpPDxc9957r/z9/RusOQAAAG+p18LtDz74QL169dKTTz6pgoICFRQUaOnSpQoLC1NWVlZD9wgAANDk6nUl6cEHH9Tdd9+t1NRU95dHnj17VrNnz9a8efO0Z8+eBm0SAACgqdUrJB04cEBr1qzx+Hbtli1b6qc//amioqIaqjcAAACvqdfttm9961s6cOBAnfH9+/erU6dOV90UAACAt9XrStK8efOUmJionJwc3XrrrZKkvXv3asWKFXr88ccbsj8AAACvqFdIeuSRR9StWzc9//zzWrlypSTppptu0qpVq/TDH/6wQRsEAADwhiu63VZYWKhHHnlEZWVlmjJlit577z2dOHFCJ06c0Pbt27Vv3z4VFRU1Vq8AAABN5opC0jPPPKPKykoFBATUqQUEBKiqqkpPP/10gzUHAADgLVcUkrZv36777rvvgvX4+Hht27btqpsCAADwtisKSUePHlX37t0vWO/cubM+/fTTq24KAADA264oJAUFBeno0aMXrB86dEgdOnS46qYAAAC87YpCUmxs7EXXHD399NOKjY296qYAAAC87Yq+AuDxxx/XoEGDFBMTo/nz56tv376SpIMHD+o3v/mNDh48qBdffLFRGgUAAGhKVxSSevbsqXfffVdz586t831II0eO1LvvvqvQ0NCG7A8AAMArrvjLJG+66Sbt2LFDX375pfLz8yVJTqdTHTt2bPDmAAAAvKVe37gtSR07diQYAQCAa1a9fuAWAADgWkdIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsEBIAgAAsODVkPTCCy9o0KBBatOmje655x6Pmsvl0pAhQ9S+fXtFREQoMzPTo75p0yaFhYXJz89PsbGxKiws9KgnJycrODhYDodDs2fPVnV1tbt28uRJTZ48WXa7Xd26dVNqamrjnaQX1dZUKzc3V3v27PF4VFVVebs1AAB8nldDUteuXZWcnKwZM2Z4jFdXV2vs2LEaP368SkpK9Oijj+quu+5SSUmJJOnjjz9WQkKC0tLSVFxcrD59+mjKlCnu/VetWqUNGzZo3759OnTokPbv36+UlBR3PSkpSTU1NTp+/Li2bt2qBQsWaPfu3U1z0k2o7PMCPf/Wh1r4usv9eDD1dWVlZXm7NQAAfJ5XQ9Ldd9+tcePGKTg42GP87bff1ldffaVHHnlEbdq0UXx8vHr16qXNmzdLktauXau4uDiNHj1a7dq10xNPPKE9e/YoPz9fkpSenq758+crNDRUnTp1UnJysl566SVJ0qlTp5SRkaGUlBTZ7XYNHDhQ06ZNc9evNfYuvRTsjHQ/HN2c3m4JAIBmoZW3G7DicrkUGRmpFi3+m+GioqLkcrnc9cGDB7trQUFB6tGjh1wul5xOp1wulwYMGOCx77Fjx1RaWqrDhw/LGKN+/fp51J977rkL9lNUVKSioqI643l5eVd1ngAAwHf5ZEiqqKhQYGCgx5jD4VBpaelF6+Xl5ZZ1h8MhSSovL1dFRYUCAgIuuK+VlStXavHixfU+HwAA0Pz4ZEjy9/dXWVmZx1hpaansdnu96ufCld1uv+S+VmbOnKmxY8fWGc/Ly1N8fPwVnBkAAGgufDIkRURE6JlnnlFtba37llt2drZmz57trufk5Li3LykpUUFBgSIiIjzqMTEx7n27d++uwMBA9e3bVzabTXl5eQoPD3fXz+1rJSQkRCEhIY1yrgAAwDd5deF2TU2NTp8+rZqaGtXW1ur06dOqrq7WiBEj1LZtWz377LOqqqrS+vXrdfjwYY0fP16SFB8fr23btmnXrl2qrKzUwoULNXToUDmdXy9KnjZtmpYvX66jR4+quLhYKSkpmj59uiTJz89PEydO1IIFC1ReXq6cnBytWbNGCQkJXpsHAADge7waklJSUtSuXTstXbpUGRkZateunWbMmKHWrVvrjTfe0KZNm+RwOLR06VK99tprCgoKkiSFh4dr9erVSkxMVMeOHXXw4EGtX7/efdzExERNnjxZ0dHRcjqdioqKUnJysru+YsUK2Ww2hYSEKC4uTkuWLNGoUaOa/PwBAIDv8urttscff1yPP/64ZS0yMlLvv//+BfedNGmSJk2aZFmz2WxKSUnx+G6kb3I4HMrIyLjifgEAwPWDnyUBAACwQEgCAACwQEgCAACwQEgCAACwQEgCAACwQEgCAACwQEgCAACw4JM/S4K6qqqqlJWV5X6em5ur2lovNgQAwDWOkNRMZGVl6cHU1+Xo9vVPrxzLzlSH3tFe7goAgGsXIakZcXRzKtgZKUk6WZjv5W4AALi2sSYJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAQitvN4C6qqqqlJWV5TGWm5ur2lovNQQAwHWIkOSDsrKy9GDq63J0c7rHjmVnqkPvaC92BQDA9YWQ5KMc3ZwKdka6n58szPdiNwAAXH9YkwQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBkAQAAGCBH7i9ztTWVCs3N9djLDo6Wm3atPFSRwAA+CZC0nWm7PMCPX+kUl0O2yRJJwvz9ds5UkxMjJc7AwDAtxCSrkP2Lr0U7Iz0dhsAAPg01iQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABYICQBAABY8NmQNG3aNN1www3y9/d3PwoKCtx1l8ulIUOGqH379oqIiFBmZqbH/ps2bVJYWJj8/PwUGxurwsJCj3pycrKCg4PlcDg0e/ZsVVdXN8l5AQCA5sFnQ5IkzZ8/XxUVFe5Hjx49JEnV1dUaO3asxo8fr5KSEj366KO66667VFJSIkn6+OOPlZCQoLS0NBUXF6tPnz6aMmWK+7irVq3Shg0btG/fPh06dEj79+9XSkqKV84RAAD4plbebqA+3n77bX311Vd65JFH1KJFC8XHx2v58uXavHmzHnjgAa1du1ZxcXEaPXq0JOmJJ55Q586dlZ+fL6fTqfT0dM2fP1+hoaGSvr6qNGfOHC1evNjy9YqKilRUVFRnPC8vr9HOsanU1lQrNze3znh0dLTatGnjhY4AAPANPh2S0tLSlJaWphtvvFEPPfSQpk+fLunrW22RkZFq0eK/F8KioqLkcrnc9cGDB7trQUFB6tGjh1wul5xOp1wulwYMGOCx77Fjx1RaWqrAwMA6faxcufKCAaq5K/u8QM8fqVSXwzb32MnCfP12jhQTE+PFzgAA8C6fDUkPPvigli1bpg4dOigzM1MTJ05UYGCgJkyYoIqKijphxuFwqLS0VJIuWC8vL7esOxwOSVJ5ebllSJo5c6bGjh1bZzwvL0/x8fFXdZ6+wN6ll4Kdkd5uAwAAn+KzIemWW25x/3nEiBGaO3euMjIyNGHCBPn7+6usrMxj+9LSUtntdkm64vq5cHWufr6QkBCFhIRc/UkBAIBmw6cXbn9TixYtZIyRJEVERCg3N1e1tbXuenZ2tiIiItz1nJwcd62kpEQFBQUXrGdnZ6t79+6WV5EAAMD1yWdD0saNG1VeXq7a2lq9++67euGFFzR+/HhJX19Zatu2rZ599llVVVVp/fr1Onz4sLseHx+vbdu2adeuXaqsrNTChQs1dOhQOZ1OSV9/vcDy5ct19OhRFRcXKyUlxb3eCQAAQPLhkPTCCy/oxhtvVGBgoGbOnKknnnhC99xzjySpdevWeuONN7Rp0yY5HA4tXbpUr732moKCgiRJ4eHhWr16tRITE9WxY0cdPHhQ69evdx87MTFRkydPVnR0tJxOp6KiopScnOyV8wQAAL7JZ9ckvfPOOxetR0ZG6v33379gfdKkSZo0aZJlzWazKSUlhe9GAgAAF+SzV5IAAAC8iZAEAABggZAEAABggZAEAABggZAEAABggZAEAABggZAEAABgwWe/JwneU1tTrdzcXI+x6OhotWnTxksdAQDQ9AhJqKPs8wI9f6RSXQ7bJEknC/P12zlSTEyMlzsDAKDpEJJgyd6ll4Kdkd5uAwAAr2FNEgAAgAVCEgAAgAVCEgAAgAVCEgAAgAVCEgAAgAVCEgAAgAVCEgAAgAVCEgAAgAW+TBKXZPUzJRI/VQIAuLYRknBJ5/9MicRPlQAArn2EJFwWfqYEAHC9YU0SAACABUISAACABW63oV6sFnOzkBsAcC0hJKFezl/MzUJuAMC1hpCEemMxNwDgWsaaJAAAAAuEJAAAAAvcbkOD4Fu5AQDXGkISGgTfyg0AuNYQktBgWMgNALiWsCYJAADAAiEJAADAArfb0Gj4Vm4AQHNGSEKj4Vu5AQDNGSEJjYrF3ACA5oqQhCbDdykBAJoTQhKaDN+lBABoTghJaFLcfgMANBeEJHgVt+AAAL6KkASv4hYcAMBXEZLgddyCAwD4IkISfA5fQgkA8AWEJPic82/BnSg4qJkjchUZ6Xm1ieAEAGhMhCT4pG/egjtZmK/n3/qQdUsAgCZFSEKzwLolAEBTIyShWWLdEgCgsRGS0CyxbgkA0NgISWi2WLcEAGhMhCRcM85ft8QtOQDA1SAk4Zp1/i05qytLVVVVysrK8tiPIAUAkAhJuMZ98+qS1ZWl3Nxcpb2Trw7de0tibRMA4L8ISbhuWP1O3LHsTHXoHc3aJgBAHYQkXFfOX7d0sjD/ktsAAK5PhCTgEs6/TXfmzBlJ0g033HDRMW7RAUDzRkgCLuH823THst9RK/8gdekd4d7m/DFu0QFA80dIAi7D+d/J1DqwS53bdt8cs1okLnF1CQCaE0IS0AisFomf/8k5q1t0EkEKAHwFIQloJFaLxL/5yTmr23YEKQDwHYQkoAldzm27hghSLCQHgKtHSAJ8TEMEqfPHrL4k8/wgxVUrAPBESAKaoStdSG71JZnnBylu/wGAJ0IScJ2wWiN1fpBqqtt/9d1GIpABaDrXbUg6efKkfvzjH2vbtm0KCAjQY489pjlz5ni7LcDnNMbtv/pu05SBjHVdAK7bkJSUlKSamhodP35cn3zyiUaPHq3w8HCNHDnS260BzU59bv/Vd5umCmQNta7rWthGqhsQq6qqlJWVpW8iROJac12GpFOnTikjI0MHDhyQ3W7XwIEDNW3aNL300kuWIamoqEhFRUV1xrOzsyVJeXl5DdrfwYMHdTz37yr7rMA9Vpyfq5btjupsxZeWz6+Vbbz9+mzTHLYJcP+/cbrshFpW13j8v3L+WENtc+JInh5P/UD24BD3NicL89WyTXv32PnPr5VtKkuLdf+YIerdu7d7m08++USvbN+rdoHBF9wGuFoDBgxolOOee9+urKy8+IbmOrR//37TunVrj7FXXnnFREVFWW6/aNEiI4kHDx48ePDgcQ091q1bd9G8cF1eSaqoqFBAQIDHmMPhUHl5ueX2M2fO1NixY+uMl5SUKC8vTwMHDlS7du0arL+8vDzFx8dr3bp1Cg8Pb7DjwhPz3DSY58bHHDcN5rlpNMU8V1ZW6siRIxozZsxFt7suQ5K/v7/Kyso8xkpLS2W32y23DwkJUUhIiGXte9/7XoP3d054eLhuueWWRjs+vsY8Nw3mufExx02DeW4ajT3Pw4YNu+Q2LRrt1X1Y3759ZbPZPNYSZWdnKyIi4iJ7AQCA68l1GZL8/Pw0ceJELViwQOXl5crJydGaNWuUkJDg7dYAAICPuC5DkiStWLFCNptNISEhiouL05IlSzRq1ChvtwUAAHzEdbkmSfp6oXZGRoa32wAAAD7qur2S5MtCQkK0aNGiCy4WR8NgnpsG89z4mOOmwTw3DV+aZ5sxxni7CQAAAF/DlSQAAAALhCQAAAALhCQAAAALhCQAAAALhCQfc/LkSU2ePFl2u13dunVTamqqt1vyeVVVVUpMTFSvXr1kt9vVv39/vfrqq+66y+XSkCFD1L59e0VERCgzM9Nj/02bNiksLEx+fn6KjY1VYWGhRz05OVnBwcFyOByaPXu2qqurm+S8fNmXX36p4OBgDRkyxD3GPDesP/7xj4qIiJCfn5969uypzZs3S2KeG8qRI0d0xx13KCgoSJ07d9YDDzygU6dOSWKOr8YLL7ygQYMGqU2bNrrnnns8ao05r4323nnRn79Fk7v33nvN+PHjTVlZmdm/f78JCgoyu3bt8nZbPq2iosIsWLDA5Ofnm7Nnz5rMzEwTEBBg9uzZY86cOWN69eplnnrqKXP69Gmzdu1a06FDB3PixAljjDF5eXnG39/f/PWvfzVfffWVmTNnjvnud7/rPvaLL75onE6n+fe//22++OILM3jwYLNw4UJvnarPmDp1qhkxYoS59dZbjTGGeW5gO3fuNN27dzeZmZnm7Nmz5vPPPzf5+fnMcwOKjY018fHx5quvvjLFxcVm2LBh5he/+AVzfJX++Mc/mi1btpi5c+eaH/7wh+7xxp7XxnrvJCT5kIqKCnPDDTeYDz/80D02f/58Ex8f78Wumqe4uDizbNky89Zbb5nOnTubs2fPumu33HKLWbVqlTHGmF/96ldm0qRJ7tqXX35pWrVqZT755BNjjDExMTFmxYoV7vobb7xhunfv3kRn4Zt2795thg8fbl566SV3SGKeG9awYcNMWlpanXHmueH07t3b/PnPf3Y/X7ZsmbnjjjuY4wayaNEij5DUmPPamO+d3G7zIf/6179kjFG/fv3cY1FRUXK5XF7sqvk5deqU9u3bp4iICLlcLkVGRqpFi//+p/7NOXW5XBowYIC7FhQUpB49elywHhUVpWPHjqm0tLSJzsa3VFVVKSkpSampqbLZbO5x5rnhnD17Vv/4xz9UXFys3r17q2vXrpo6dapKSkqY5wb08MMPa/369Tp16pS++OIL/fGPf9Ttt9/OHDeSxpzXxnzvJCT5kIqKCgUEBHiMORwOlZeXe6mj5scYo4SEBA0ePFixsbGqqKhQYGCgxzbfnNMrrTscDkm6bv9OnnzySY0ZM0aRkZEe48xzw/n8889VXV2tjRs36u2339ZHH32k//znP3r44YeZ5wY0cuRIffzxxwoICFDnzp3VsWNHzZgxgzluJI05r4353klI8iH+/v4qKyvzGCstLZXdbvdSR82LMUazZs1SYWGh/vCHP8hms11yTq+0fu5fg9fj38mhQ4e0du1aLV68uE6NeW447du3lyQlJSWpe/fucjgceuyxx/SXv/yFeW4gZ8+e1ZgxY3THHXfo1KlTKi0tVadOnRQfH88cN5LGnNfGfO8kJPmQvn37ymazKS8vzz2WnZ2tiIgIL3bVPBhjNHfuXB04cEDbtm2Tn5+fJCkiIkK5ubmqra11b/vNOY2IiFBOTo67VlJSooKCggvWs7Oz1b179zr/4rke/P3vf1dhYaFCQ0MVHBysefPmKSsrS8HBwQoLC2OeG4jD4dCNN97ocTvzHP57bhglJSU6duyY5s2bp7Zt2yogIECzZ8/Wn//8Z+a4kTTmvDbqe+dVr2pCg5oyZYqZMGGCKSsrM9nZ2aZjx45m586d3m7L582ZM8cMHDjQ/UmJc86cOWNCQ0PNM888Y06fPm1effVV06FDB/Pll18aY4z56KOPjN1uNzt37jRfffWVSUpK8vhERVpamunTp485cuSI+c9//mNuvfXW6+qTKt906tQp8+mnn7ofzz33nBk4cKD59NNPmecGtnjxYjNw4EBTVFRkysrKzA9+8AMzffp05rkBhYWFmcWLF5uqqipTUVFhEhMTTUxMDHN8laqrq01lZaV57LHHzKRJk0xlZaU5c+ZMo89rY713EpJ8TElJiZk4caLx8/MzISEhHqv5Ye3IkSNGkmnTpo3x8/NzP5YuXWqMMeaf//ynGTx4sGnbtq3p16+f+dvf/uax/8aNG02vXr1Mu3btzPe//31z7Ngxd622ttY89thjpmPHjiYgIMDMnDnTnDlzpknPz1elp6e7P91mDPPckKqrq828efNMhw4dTKdOncy0adNMaWmpMYZ5big5OTlm1KhRpkOHDqZDhw7m9ttvd3+Sijmuv0WLFhlJHo+pU6caYxp3XhvrvdNmjDFXfz0KAADg2sKaJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAAAAuEJAAN6vHHH9fw4cO93QYuU2hoqFatWuXtNgCfREgCcF168cUXFRMTo8DAQHXq1EkTJkzQ4cOHvd3WRRUUFCgwMFDdu3f3divAdYGQBMDtzJkz3m6hyfztb3/T1KlTlZmZqZ07d+r06dOKi4tTdXW1t1uzZIzR1KlTNXToUG+3Alw3CEnAdWzEiBH62c9+pgceeEABAQF66KGHdP/99+vGG2+Un5+foqOjtWvXLo99bDab1qxZo9GjR6t9+/aKjo7WP//5zwu+RmZmpjp06KBXX331kv188cUXio+PV1BQkPz9/TVs2DDl5+dLkqZNm6Z7771Xv/zlLxUUFKTOnTsrPT1dJ0+e1KRJk+Tv76+bb75Z2dnZ7uPt379fw4cPl5+fnzp06KDbbrtNJ0+elCStW7dOM2fO1M0336ybb75Zq1at0r/+9S/l5eVd1txt2LBBkZGRatOmjbp3766UlBRJ0pEjR2Sz2bR582YNGjRI7dq10+jRo/Xll18qIyNDTqdTHTp00E9+8hOd++lMY4x++ctfqlu3bmrbtq3CwsK0cuVKj9dbvny5goKCdM8991xWf+c8/PDDCgsLU/v27dW/f3/94Q9/qLPNl19+qTvvvFPt2rXTt7/9bb399tvu2uHDh/W///u/CggIUEBAgG699VZ98sknV9QD0FwRkoDr3MqVK9WnTx/t379fSUlJ6tu3r/70pz8pJydHY8eO1V133aUvvvjCY58lS5Zo3rx5ys7OVteuXZWQkGB57J07d+rOO+9UWlqa7r333kv2cvfddys/P19/+tOfdODAAc2cOVM1NTXu+p/+9CdJ0t69e/Xggw9q5syZmjJlisaNG6cDBw6od+/eeuCBB9zbx8fHa9iwYcrNzdW777570R6Ki4slSUFBQZfs86233tL999+vhIQEuVwuZWRkKCQkxGObJUuW6Nlnn9V7772no0ePatKkSVq3bp1ef/11rVu3Tqmpqdq6daskKSMjQ+vXr9fGjRt18OBBrV69Wp07d3Yf66OPPtJvfvMb/e53v7tkb+fr2LGjNmzYIJfLpXnz5um+++5Tbm6uxzZPPfWU7rjjDh04cEDf//73NW7cOJWWlkqSkpKS1LlzZ33wwQfat2+fHnzwQbVowVsHrhMGwHXrtttuMyNGjLjoNjfddJN5+eWX3c8lmaefftr9fM+ePUaSKS8vN8YYs2jRIjNs2DDzl7/8xQQGBpotW7ZcVi+7du0yN9xwgzl27JhlferUqaZfv37u5zU1NcbPz8/MnTvXPfbee+8ZSaasrMwYY4y/v7955513LvnatbW1ZuzYsWbMmDGX1et3v/tdj9f9pn//+99GkvnDH/7gHnvyySeNzWYzn3/+uXtszJgxZv78+cYYY5YtW2a+973vmdra2jrHO3PmjLnlllvMxo0bjTHGpKenm27dul1Wn1bGjBljFi9e7H7es2dP88Mf/tD9vKamxvTo0cM8//zzxhhjIiIizCuvvFLv1wOaM/45AFznBg4c6PF82bJluvnmm923vA4dOqRPP/3UY5vIyEj3n7t06SJJHlebDh48qHHjxik9PV3jxo27rD5cLpf69Omjbt26XXCbiIgI959btmypjh07qn///u6xc1df/vOf/0j6+ipIbGysxo0bpxUrVrivFp3vpz/9qXJzc5Wenn7ZvY4YMeKi23xzjjp37qxOnTrpW9/6lsfYuT4nTJigjz76SOHh4frJT36iv/3tb+7tUlJS1KdPH02aNOmyejvfyy+/rEGDBik4OFj+/v7auXNnnb/PwYMHu//csmVLRUdH6+DBg5KkOXPmKDExUWPGjNGyZcvq7AtcywhJwHWuffv27j+vW7dOS5Ys0U9/+lPt3r1b2dnZ6tevX53FzK1bt3b/2WazSZJqa2vdY127dtXNN9+sNWvWeNwuuxjz/9fnXMw3X/fca1+slyeffFIffPCBhgwZorVr1+qmm27SoUOHPI7xq1/9Shs3btTOnTvr3DK7Guf3ZdX7uT5DQ0N16NAhpaSkqKKiQnfeeafmzZsn6esF5hkZGWrVqpVatWqlBx54QIWFhWrVqlWd9WLny8zM1IwZM3Tfffdpx44dys7O1ujRo+v8fZ6bNyuzZ89WXl6ebr/9dr355pv69re/rczMzCuaC6C5IiQBcNu7d69GjRqlqVOnasCAAerSpYsKCgqu+Dh2u11vvvmm8vPzdf/993sEqAuJjIzUoUOHdPz48fq0fkERERF69NFHtXfvXnXp0kVbtmxx1xYvXqxVq1bpr3/9q3r16nVFx/zm4uaG4Ofnp4kTJ+rFF1/UqlWrtHr1aklSenq6cnJylJ2drezsbC1ZskSdO3dWdna2br311ose8/3331e/fv300EMPKSoqSmFhYe6F8N/0j3/8w/3n2tpa7d+/XzfddJN7LCwsTA899JB27Nih2267Tf/3f//XQGcN+LZW3m4AgO9wOp3auHGjMjMzFRQUpEWLFl1WwLHSsWNH7dixQ9/5znc0a9YspaWlXXT7kSNH6n/+5380YcIELVu2TF26dNHevXs1aNAgjzfsy1VZWalf/OIXmjRpknr06KEPP/xQBQUF7mM99dRTevrpp7V582Z16NBBn332maSvF27fcMMNFz32Y489ph/84AdyOp36wQ9+oJKSEn344YcXXMB+KS+//LKMMbr11lvVsmVLvfbaa+4+zw9v+/btU6tWrTxuPV6I0+nUwYMHtXXrVvXp00e//e1v3ef5Tdu3b1daWppuu+02paamqqSkRPHx8ZKkn/zkJ7rjjjvUu3dvffrpp/rnP/+pMWPG1Os8geaGK0kA3GbNmqXvfe97uv322/X9739fw4cP14ABA+p9vC5dumjHjh168803NX/+/Etuv3nzZoWGhur222/XgAED9Lvf/U6tWtXv33ItW7bUF198oR/96Efq27evkpKStHDhQt11112SpN///veqrKxUXFycQkJC3I89e/Zc8tixsbFKT09XWlqa+vfvrwkTJqioqKhefUpSYGCgUlNTNXjwYA0ePFgnTpzQhg0b6n28c8aNG+e+3RYTEyO73a4777yzznY///nPtWXLFg0YMEBvvvmmtmzZIofDIUmqrq7Wj3/8Y33729/Wj370I02ZMkVJSUlX3RvQHNjM5SwEAAAAuM5wJQkAAMACIQlAk/H397d8fPNj/L7g17/+9QV7vZxvDm9KzWVOgeaI220AmsyFfs6idevW6tmzZxN3c2EnTpzQiRMnLGudO3eW3W5v4o4urLnMKdAcEZIAAAAscLsNAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAAiEJAADAwv8DX1t9AT6bmhcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "temp0 = panda_rank[((panda_rank['cms2']>1) | (panda_rank['cms4']>1))]\n",
    "#sns.histplot(temp0['value_cms2_cms4_abs'], bins = 100)\n",
    "sns.histplot(temp0['rank_cms2_cms4_abs'], bins = 100)\n",
    "print(np.percentile(temp0['rank_cms2_cms4_abs'], 75), np.percentile(temp0['rank_cms2_cms4_abs'], 90))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Around 1000 is the 75th percentile for the differences between two edges, while around 2000 is the 90th percentile.   \n",
    "That is less than 25% of edges change their rank of more than 1000 positions, in either directions\n",
    "\n",
    "Now we are gonna get edges that: \n",
    "- Have a difference in ranking of more than 1000 (or 2000)\n",
    "- Are weighted at least 1 in either cms2 or cms4 (we ignore changes of edges that are not really plausible)\n",
    "- Have a difference in absolute value between cms2 and cms4 of more than 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tf</th>\n",
       "      <th>ens</th>\n",
       "      <th>rank_cms2</th>\n",
       "      <th>rank_cms4</th>\n",
       "      <th>rank_cms2_cms4</th>\n",
       "      <th>rank_cms2_cms4_abs</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>value_cms2_cms4</th>\n",
       "      <th>value_cms2_cms4_abs</th>\n",
       "      <th>symbol</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>489051</th>\n",
       "      <td>FOXA1</td>\n",
       "      <td>ENSG00000225315</td>\n",
       "      <td>14044.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>10058.0</td>\n",
       "      <td>10058.0</td>\n",
       "      <td>1.159921</td>\n",
       "      <td>-2.228002</td>\n",
       "      <td>3.387923</td>\n",
       "      <td>3.387923</td>\n",
       "      <td>RP11-293P20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489042</th>\n",
       "      <td>ZNF584</td>\n",
       "      <td>ENSG00000225315</td>\n",
       "      <td>12927.0</td>\n",
       "      <td>2925.0</td>\n",
       "      <td>10002.0</td>\n",
       "      <td>10002.0</td>\n",
       "      <td>1.533170</td>\n",
       "      <td>-3.013996</td>\n",
       "      <td>4.547166</td>\n",
       "      <td>4.547166</td>\n",
       "      <td>RP11-293P20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489040</th>\n",
       "      <td>HOXD13</td>\n",
       "      <td>ENSG00000225315</td>\n",
       "      <td>13204.0</td>\n",
       "      <td>3825.0</td>\n",
       "      <td>9379.0</td>\n",
       "      <td>9379.0</td>\n",
       "      <td>1.398560</td>\n",
       "      <td>-2.631483</td>\n",
       "      <td>4.030042</td>\n",
       "      <td>4.030042</td>\n",
       "      <td>RP11-293P20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262287</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000152580</td>\n",
       "      <td>4230.0</td>\n",
       "      <td>13488.0</td>\n",
       "      <td>-9258.0</td>\n",
       "      <td>9258.0</td>\n",
       "      <td>-2.665551</td>\n",
       "      <td>1.503873</td>\n",
       "      <td>-4.169424</td>\n",
       "      <td>4.169424</td>\n",
       "      <td>IGSF10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85044</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000104537</td>\n",
       "      <td>4794.0</td>\n",
       "      <td>13945.0</td>\n",
       "      <td>-9151.0</td>\n",
       "      <td>9151.0</td>\n",
       "      <td>-2.481647</td>\n",
       "      <td>1.627399</td>\n",
       "      <td>-4.109046</td>\n",
       "      <td>4.109046</td>\n",
       "      <td>ANXA13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539004</th>\n",
       "      <td>ZNF584</td>\n",
       "      <td>ENSG00000241494</td>\n",
       "      <td>17669.0</td>\n",
       "      <td>16666.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>4.537548</td>\n",
       "      <td>3.220776</td>\n",
       "      <td>1.316773</td>\n",
       "      <td>1.316773</td>\n",
       "      <td>RP11-796G6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267275</th>\n",
       "      <td>NFATC3</td>\n",
       "      <td>ENSG00000154330</td>\n",
       "      <td>18111.0</td>\n",
       "      <td>17108.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>3.936355</td>\n",
       "      <td>1.872805</td>\n",
       "      <td>2.063550</td>\n",
       "      <td>2.063550</td>\n",
       "      <td>PGM5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98442</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000107551</td>\n",
       "      <td>17821.0</td>\n",
       "      <td>16818.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>4.812144</td>\n",
       "      <td>3.523561</td>\n",
       "      <td>1.288584</td>\n",
       "      <td>1.288584</td>\n",
       "      <td>RASSF4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519664</th>\n",
       "      <td>HOXD13</td>\n",
       "      <td>ENSG00000234618</td>\n",
       "      <td>16573.0</td>\n",
       "      <td>15570.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>2.909981</td>\n",
       "      <td>1.900362</td>\n",
       "      <td>1.009619</td>\n",
       "      <td>1.009619</td>\n",
       "      <td>RPSAP9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324517</th>\n",
       "      <td>ZNF28</td>\n",
       "      <td>ENSG00000167257</td>\n",
       "      <td>17955.0</td>\n",
       "      <td>16954.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>4.191796</td>\n",
       "      <td>2.073177</td>\n",
       "      <td>2.118619</td>\n",
       "      <td>2.118619</td>\n",
       "      <td>RNF214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5159 rows × 11 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            tf              ens  rank_cms2  rank_cms4  rank_cms2_cms4  \\\n",
       "489051   FOXA1  ENSG00000225315    14044.0     3986.0         10058.0   \n",
       "489042  ZNF584  ENSG00000225315    12927.0     2925.0         10002.0   \n",
       "489040  HOXD13  ENSG00000225315    13204.0     3825.0          9379.0   \n",
       "262287   KLF10  ENSG00000152580     4230.0    13488.0         -9258.0   \n",
       "85044    KLF10  ENSG00000104537     4794.0    13945.0         -9151.0   \n",
       "...        ...              ...        ...        ...             ...   \n",
       "539004  ZNF584  ENSG00000241494    17669.0    16666.0          1003.0   \n",
       "267275  NFATC3  ENSG00000154330    18111.0    17108.0          1003.0   \n",
       "98442    KLF10  ENSG00000107551    17821.0    16818.0          1003.0   \n",
       "519664  HOXD13  ENSG00000234618    16573.0    15570.0          1003.0   \n",
       "324517   ZNF28  ENSG00000167257    17955.0    16954.0          1001.0   \n",
       "\n",
       "        rank_cms2_cms4_abs      cms2      cms4  value_cms2_cms4  \\\n",
       "489051             10058.0  1.159921 -2.228002         3.387923   \n",
       "489042             10002.0  1.533170 -3.013996         4.547166   \n",
       "489040              9379.0  1.398560 -2.631483         4.030042   \n",
       "262287              9258.0 -2.665551  1.503873        -4.169424   \n",
       "85044               9151.0 -2.481647  1.627399        -4.109046   \n",
       "...                    ...       ...       ...              ...   \n",
       "539004              1003.0  4.537548  3.220776         1.316773   \n",
       "267275              1003.0  3.936355  1.872805         2.063550   \n",
       "98442               1003.0  4.812144  3.523561         1.288584   \n",
       "519664              1003.0  2.909981  1.900362         1.009619   \n",
       "324517              1001.0  4.191796  2.073177         2.118619   \n",
       "\n",
       "        value_cms2_cms4_abs         symbol  \n",
       "489051             3.387923  RP11-293P20.2  \n",
       "489042             4.547166  RP11-293P20.2  \n",
       "489040             4.030042  RP11-293P20.2  \n",
       "262287             4.169424         IGSF10  \n",
       "85044              4.109046         ANXA13  \n",
       "...                     ...            ...  \n",
       "539004             1.316773   RP11-796G6.1  \n",
       "267275             2.063550           PGM5  \n",
       "98442              1.288584         RASSF4  \n",
       "519664             1.009619         RPSAP9  \n",
       "324517             2.118619         RNF214  \n",
       "\n",
       "[5159 rows x 11 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "th = 1000\n",
    "temp = panda_rank[(panda_rank['value_cms2_cms4_abs']>1) & (panda_rank['rank_cms2_cms4_abs']>th) & ((panda_rank['cms2']>1) | (panda_rank['cms4']>1))].sort_values('rank_cms2_cms4_abs', ascending = False)\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tf</th>\n",
       "      <th>ens</th>\n",
       "      <th>rank_cms2</th>\n",
       "      <th>rank_cms4</th>\n",
       "      <th>rank_cms2_cms4</th>\n",
       "      <th>rank_cms2_cms4_abs</th>\n",
       "      <th>cms2</th>\n",
       "      <th>cms4</th>\n",
       "      <th>value_cms2_cms4</th>\n",
       "      <th>value_cms2_cms4_abs</th>\n",
       "      <th>symbol</th>\n",
       "      <th>edge</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>489051</th>\n",
       "      <td>FOXA1</td>\n",
       "      <td>ENSG00000225315</td>\n",
       "      <td>14044.0</td>\n",
       "      <td>3986.0</td>\n",
       "      <td>10058.0</td>\n",
       "      <td>10058.0</td>\n",
       "      <td>1.159921</td>\n",
       "      <td>-2.228002</td>\n",
       "      <td>3.387923</td>\n",
       "      <td>3.387923</td>\n",
       "      <td>RP11-293P20.2</td>\n",
       "      <td>FOXA1-RP11-293P20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489042</th>\n",
       "      <td>ZNF584</td>\n",
       "      <td>ENSG00000225315</td>\n",
       "      <td>12927.0</td>\n",
       "      <td>2925.0</td>\n",
       "      <td>10002.0</td>\n",
       "      <td>10002.0</td>\n",
       "      <td>1.533170</td>\n",
       "      <td>-3.013996</td>\n",
       "      <td>4.547166</td>\n",
       "      <td>4.547166</td>\n",
       "      <td>RP11-293P20.2</td>\n",
       "      <td>ZNF584-RP11-293P20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489040</th>\n",
       "      <td>HOXD13</td>\n",
       "      <td>ENSG00000225315</td>\n",
       "      <td>13204.0</td>\n",
       "      <td>3825.0</td>\n",
       "      <td>9379.0</td>\n",
       "      <td>9379.0</td>\n",
       "      <td>1.398560</td>\n",
       "      <td>-2.631483</td>\n",
       "      <td>4.030042</td>\n",
       "      <td>4.030042</td>\n",
       "      <td>RP11-293P20.2</td>\n",
       "      <td>HOXD13-RP11-293P20.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>262287</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000152580</td>\n",
       "      <td>4230.0</td>\n",
       "      <td>13488.0</td>\n",
       "      <td>-9258.0</td>\n",
       "      <td>9258.0</td>\n",
       "      <td>-2.665551</td>\n",
       "      <td>1.503873</td>\n",
       "      <td>-4.169424</td>\n",
       "      <td>4.169424</td>\n",
       "      <td>IGSF10</td>\n",
       "      <td>KLF10-IGSF10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85044</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000104537</td>\n",
       "      <td>4794.0</td>\n",
       "      <td>13945.0</td>\n",
       "      <td>-9151.0</td>\n",
       "      <td>9151.0</td>\n",
       "      <td>-2.481647</td>\n",
       "      <td>1.627399</td>\n",
       "      <td>-4.109046</td>\n",
       "      <td>4.109046</td>\n",
       "      <td>ANXA13</td>\n",
       "      <td>KLF10-ANXA13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>539004</th>\n",
       "      <td>ZNF584</td>\n",
       "      <td>ENSG00000241494</td>\n",
       "      <td>17669.0</td>\n",
       "      <td>16666.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>4.537548</td>\n",
       "      <td>3.220776</td>\n",
       "      <td>1.316773</td>\n",
       "      <td>1.316773</td>\n",
       "      <td>RP11-796G6.1</td>\n",
       "      <td>ZNF584-RP11-796G6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>267275</th>\n",
       "      <td>NFATC3</td>\n",
       "      <td>ENSG00000154330</td>\n",
       "      <td>18111.0</td>\n",
       "      <td>17108.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>3.936355</td>\n",
       "      <td>1.872805</td>\n",
       "      <td>2.063550</td>\n",
       "      <td>2.063550</td>\n",
       "      <td>PGM5</td>\n",
       "      <td>NFATC3-PGM5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>98442</th>\n",
       "      <td>KLF10</td>\n",
       "      <td>ENSG00000107551</td>\n",
       "      <td>17821.0</td>\n",
       "      <td>16818.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>4.812144</td>\n",
       "      <td>3.523561</td>\n",
       "      <td>1.288584</td>\n",
       "      <td>1.288584</td>\n",
       "      <td>RASSF4</td>\n",
       "      <td>KLF10-RASSF4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>519664</th>\n",
       "      <td>HOXD13</td>\n",
       "      <td>ENSG00000234618</td>\n",
       "      <td>16573.0</td>\n",
       "      <td>15570.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>1003.0</td>\n",
       "      <td>2.909981</td>\n",
       "      <td>1.900362</td>\n",
       "      <td>1.009619</td>\n",
       "      <td>1.009619</td>\n",
       "      <td>RPSAP9</td>\n",
       "      <td>HOXD13-RPSAP9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>324517</th>\n",
       "      <td>ZNF28</td>\n",
       "      <td>ENSG00000167257</td>\n",
       "      <td>17955.0</td>\n",
       "      <td>16954.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>1001.0</td>\n",
       "      <td>4.191796</td>\n",
       "      <td>2.073177</td>\n",
       "      <td>2.118619</td>\n",
       "      <td>2.118619</td>\n",
       "      <td>RNF214</td>\n",
       "      <td>ZNF28-RNF214</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5159 rows × 12 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            tf              ens  rank_cms2  rank_cms4  rank_cms2_cms4  \\\n",
       "489051   FOXA1  ENSG00000225315    14044.0     3986.0         10058.0   \n",
       "489042  ZNF584  ENSG00000225315    12927.0     2925.0         10002.0   \n",
       "489040  HOXD13  ENSG00000225315    13204.0     3825.0          9379.0   \n",
       "262287   KLF10  ENSG00000152580     4230.0    13488.0         -9258.0   \n",
       "85044    KLF10  ENSG00000104537     4794.0    13945.0         -9151.0   \n",
       "...        ...              ...        ...        ...             ...   \n",
       "539004  ZNF584  ENSG00000241494    17669.0    16666.0          1003.0   \n",
       "267275  NFATC3  ENSG00000154330    18111.0    17108.0          1003.0   \n",
       "98442    KLF10  ENSG00000107551    17821.0    16818.0          1003.0   \n",
       "519664  HOXD13  ENSG00000234618    16573.0    15570.0          1003.0   \n",
       "324517   ZNF28  ENSG00000167257    17955.0    16954.0          1001.0   \n",
       "\n",
       "        rank_cms2_cms4_abs      cms2      cms4  value_cms2_cms4  \\\n",
       "489051             10058.0  1.159921 -2.228002         3.387923   \n",
       "489042             10002.0  1.533170 -3.013996         4.547166   \n",
       "489040              9379.0  1.398560 -2.631483         4.030042   \n",
       "262287              9258.0 -2.665551  1.503873        -4.169424   \n",
       "85044               9151.0 -2.481647  1.627399        -4.109046   \n",
       "...                    ...       ...       ...              ...   \n",
       "539004              1003.0  4.537548  3.220776         1.316773   \n",
       "267275              1003.0  3.936355  1.872805         2.063550   \n",
       "98442               1003.0  4.812144  3.523561         1.288584   \n",
       "519664              1003.0  2.909981  1.900362         1.009619   \n",
       "324517              1001.0  4.191796  2.073177         2.118619   \n",
       "\n",
       "        value_cms2_cms4_abs         symbol                  edge  \n",
       "489051             3.387923  RP11-293P20.2   FOXA1-RP11-293P20.2  \n",
       "489042             4.547166  RP11-293P20.2  ZNF584-RP11-293P20.2  \n",
       "489040             4.030042  RP11-293P20.2  HOXD13-RP11-293P20.2  \n",
       "262287             4.169424         IGSF10          KLF10-IGSF10  \n",
       "85044              4.109046         ANXA13          KLF10-ANXA13  \n",
       "...                     ...            ...                   ...  \n",
       "539004             1.316773   RP11-796G6.1   ZNF584-RP11-796G6.1  \n",
       "267275             2.063550           PGM5           NFATC3-PGM5  \n",
       "98442              1.288584         RASSF4          KLF10-RASSF4  \n",
       "519664             1.009619         RPSAP9         HOXD13-RPSAP9  \n",
       "324517             2.118619         RNF214          ZNF28-RNF214  \n",
       "\n",
       "[5159 rows x 12 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "temp['edge'] = temp.tf + '-' + temp.symbol\n",
    "temp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages/seaborn/matrix.py:560: UserWarning: Clustering large matrix with scipy. Installing `fastcluster` may give better performance.\n",
      "  warnings.warn(msg)\n",
      "/Users/violafanfani/miniconda3/envs/m1-ml-py10/lib/python3.12/site-packages/seaborn/matrix.py:560: UserWarning: Clustering large matrix with scipy. Installing `fastcluster` may give better performance.\n",
      "  warnings.warn(msg)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<seaborn.matrix.ClusterGrid at 0x14b726060>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# edges with high rank difference\n",
    "sns.clustermap(temp.loc[:,['edge','cms2','cms4']].set_index('edge'), cmap = 'coolwarm', center = 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "However it is hard to understand what we are looking at. There are many edges and we don't know what they do. \n",
    "We will proceed with a pathway analysis on the genes, such that we can see the targets of interest what pathways are\n",
    "involved in"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Check what pathways these genes are involved with"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2344\n"
     ]
    }
   ],
   "source": [
    "# pathway analysis of the genes involved , background is all the genes in the pandas\n",
    "import gseapy as gp\n",
    "gene_list = temp.symbol.unique().tolist()\n",
    "print(len(gene_list))\n",
    "bckg = panda_rank.symbol.unique().tolist()\n",
    "res_reactome = gp.enrich(gene_list = gene_list, gene_sets='../data/external/reactome_slim/hugo_reactome_slim.gmt', background = bckg)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [],
   "source": [
    "# save table\n",
    "res_reactome.results.sort_values('Adjusted P-value').to_csv(panda_folder + 'reactome_enrichment.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/var/folders/1b/jphhn26s4zgfr0k1rxj7wfqr0000gn/T/ipykernel_50618/1392000711.py:2: UserWarning: Boolean Series key will be reindexed to match DataFrame index.\n",
      "  res_reactome.results.sort_values('Adjusted P-value')[res_reactome.results['Adjusted P-value']<0.05]\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_set</th>\n",
       "      <th>Term</th>\n",
       "      <th>Overlap</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adjusted P-value</th>\n",
       "      <th>Odds Ratio</th>\n",
       "      <th>Combined Score</th>\n",
       "      <th>Genes</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>92</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Creation of C4 and C2 activators</td>\n",
       "      <td>31/81</td>\n",
       "      <td>1.118889e-09</td>\n",
       "      <td>6.903546e-07</td>\n",
       "      <td>4.646470</td>\n",
       "      <td>95.768071</td>\n",
       "      <td>IGLV3-19;IGHV3-7;MASP1;C1QA;IGKV2D-30;IGLV6-57...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Cell surface interactions at the vascular wall</td>\n",
       "      <td>51/182</td>\n",
       "      <td>3.070975e-09</td>\n",
       "      <td>9.473958e-07</td>\n",
       "      <td>2.928938</td>\n",
       "      <td>57.410904</td>\n",
       "      <td>IGLV3-19;IGHV3-7;CEACAM1;JAML;SELL;SIRPG;IGKV2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Binding and Uptake of Ligands by Scavenger Rec...</td>\n",
       "      <td>34/102</td>\n",
       "      <td>1.162204e-08</td>\n",
       "      <td>2.390266e-06</td>\n",
       "      <td>3.752686</td>\n",
       "      <td>68.562929</td>\n",
       "      <td>IGLV3-19;IGHV3-7;MASP1;IGKV2D-30;IGLV6-57;IGKC...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Initial triggering of complement</td>\n",
       "      <td>31/89</td>\n",
       "      <td>1.569872e-08</td>\n",
       "      <td>2.421527e-06</td>\n",
       "      <td>4.009194</td>\n",
       "      <td>72.043952</td>\n",
       "      <td>IGLV3-19;IGHV3-7;MASP1;C1QA;IGKV2D-30;IGLV6-57...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>281</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Leishmania phagocytosis</td>\n",
       "      <td>39/129</td>\n",
       "      <td>2.231306e-08</td>\n",
       "      <td>2.753431e-06</td>\n",
       "      <td>3.254975</td>\n",
       "      <td>57.346458</td>\n",
       "      <td>IGLV3-19;IGHV3-7;ELMO2;CYFIP2;CD247;BRK1;CYFIP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Complement cascade</td>\n",
       "      <td>35/110</td>\n",
       "      <td>2.755950e-08</td>\n",
       "      <td>2.834035e-06</td>\n",
       "      <td>3.503535</td>\n",
       "      <td>60.985747</td>\n",
       "      <td>IGLV3-19;IGHV3-7;MASP1;C1QA;CD19;IGKV2D-30;IGL...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Fcgamma receptor (FCGR) dependent phagocytosis</td>\n",
       "      <td>41/156</td>\n",
       "      <td>6.868165e-07</td>\n",
       "      <td>6.053797e-05</td>\n",
       "      <td>2.677998</td>\n",
       "      <td>38.004002</td>\n",
       "      <td>IGLV3-19;IGHV3-7;ELMO2;CYFIP2;CD247;BRK1;CYFIP...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>530</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Signaling by the B Cell Receptor (BCR)</td>\n",
       "      <td>42/167</td>\n",
       "      <td>1.779102e-06</td>\n",
       "      <td>1.372133e-04</td>\n",
       "      <td>2.523625</td>\n",
       "      <td>33.411290</td>\n",
       "      <td>IGLV3-19;IGHV3-7;BLNK;CD22;PSME1;CD19;IGKV2D-3...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Anti-inflammatory response favouring Leishmani...</td>\n",
       "      <td>35/137</td>\n",
       "      <td>8.637353e-06</td>\n",
       "      <td>5.921386e-04</td>\n",
       "      <td>2.576604</td>\n",
       "      <td>30.041688</td>\n",
       "      <td>IGLV3-19;IGHV3-7;CD247;PLK2;IGKV2D-30;IGLV6-57...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>rRNA processing in the mitochondrion</td>\n",
       "      <td>14/35</td>\n",
       "      <td>2.315373e-05</td>\n",
       "      <td>1.428585e-03</td>\n",
       "      <td>4.995559</td>\n",
       "      <td>53.319378</td>\n",
       "      <td>MT-TL1;MT-TS2;MT-TD;MT-TK;MTERF4;MT-RNR2;MT-TW...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>177</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Fc epsilon receptor (FCERI) signaling</td>\n",
       "      <td>40/194</td>\n",
       "      <td>3.690258e-04</td>\n",
       "      <td>2.069899e-02</td>\n",
       "      <td>1.948474</td>\n",
       "      <td>15.401990</td>\n",
       "      <td>IGLV3-19;IGHV3-7;PSME1;IGKV2D-30;PSME2;IGLV6-5...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82</th>\n",
       "      <td>hugo_reactome_slim.gmt</td>\n",
       "      <td>Class A/1 (Rhodopsin-like receptors)</td>\n",
       "      <td>35/167</td>\n",
       "      <td>6.085153e-04</td>\n",
       "      <td>3.128783e-02</td>\n",
       "      <td>1.989741</td>\n",
       "      <td>14.733017</td>\n",
       "      <td>ADRA2C;F2RL1;GPR37L1;CCL13;TAC1;HCAR2;OXTR;PPB...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "                   Gene_set  \\\n",
       "92   hugo_reactome_slim.gmt   \n",
       "65   hugo_reactome_slim.gmt   \n",
       "43   hugo_reactome_slim.gmt   \n",
       "241  hugo_reactome_slim.gmt   \n",
       "281  hugo_reactome_slim.gmt   \n",
       "88   hugo_reactome_slim.gmt   \n",
       "178  hugo_reactome_slim.gmt   \n",
       "530  hugo_reactome_slim.gmt   \n",
       "24   hugo_reactome_slim.gmt   \n",
       "611  hugo_reactome_slim.gmt   \n",
       "177  hugo_reactome_slim.gmt   \n",
       "82   hugo_reactome_slim.gmt   \n",
       "\n",
       "                                                  Term Overlap       P-value  \\\n",
       "92                    Creation of C4 and C2 activators   31/81  1.118889e-09   \n",
       "65      Cell surface interactions at the vascular wall  51/182  3.070975e-09   \n",
       "43   Binding and Uptake of Ligands by Scavenger Rec...  34/102  1.162204e-08   \n",
       "241                   Initial triggering of complement   31/89  1.569872e-08   \n",
       "281                            Leishmania phagocytosis  39/129  2.231306e-08   \n",
       "88                                  Complement cascade  35/110  2.755950e-08   \n",
       "178     Fcgamma receptor (FCGR) dependent phagocytosis  41/156  6.868165e-07   \n",
       "530             Signaling by the B Cell Receptor (BCR)  42/167  1.779102e-06   \n",
       "24   Anti-inflammatory response favouring Leishmani...  35/137  8.637353e-06   \n",
       "611               rRNA processing in the mitochondrion   14/35  2.315373e-05   \n",
       "177              Fc epsilon receptor (FCERI) signaling  40/194  3.690258e-04   \n",
       "82                Class A/1 (Rhodopsin-like receptors)  35/167  6.085153e-04   \n",
       "\n",
       "     Adjusted P-value  Odds Ratio  Combined Score  \\\n",
       "92       6.903546e-07    4.646470       95.768071   \n",
       "65       9.473958e-07    2.928938       57.410904   \n",
       "43       2.390266e-06    3.752686       68.562929   \n",
       "241      2.421527e-06    4.009194       72.043952   \n",
       "281      2.753431e-06    3.254975       57.346458   \n",
       "88       2.834035e-06    3.503535       60.985747   \n",
       "178      6.053797e-05    2.677998       38.004002   \n",
       "530      1.372133e-04    2.523625       33.411290   \n",
       "24       5.921386e-04    2.576604       30.041688   \n",
       "611      1.428585e-03    4.995559       53.319378   \n",
       "177      2.069899e-02    1.948474       15.401990   \n",
       "82       3.128783e-02    1.989741       14.733017   \n",
       "\n",
       "                                                 Genes  \n",
       "92   IGLV3-19;IGHV3-7;MASP1;C1QA;IGKV2D-30;IGLV6-57...  \n",
       "65   IGLV3-19;IGHV3-7;CEACAM1;JAML;SELL;SIRPG;IGKV2...  \n",
       "43   IGLV3-19;IGHV3-7;MASP1;IGKV2D-30;IGLV6-57;IGKC...  \n",
       "241  IGLV3-19;IGHV3-7;MASP1;C1QA;IGKV2D-30;IGLV6-57...  \n",
       "281  IGLV3-19;IGHV3-7;ELMO2;CYFIP2;CD247;BRK1;CYFIP...  \n",
       "88   IGLV3-19;IGHV3-7;MASP1;C1QA;CD19;IGKV2D-30;IGL...  \n",
       "178  IGLV3-19;IGHV3-7;ELMO2;CYFIP2;CD247;BRK1;CYFIP...  \n",
       "530  IGLV3-19;IGHV3-7;BLNK;CD22;PSME1;CD19;IGKV2D-3...  \n",
       "24   IGLV3-19;IGHV3-7;CD247;PLK2;IGKV2D-30;IGLV6-57...  \n",
       "611  MT-TL1;MT-TS2;MT-TD;MT-TK;MTERF4;MT-RNR2;MT-TW...  \n",
       "177  IGLV3-19;IGHV3-7;PSME1;IGKV2D-30;PSME2;IGLV6-5...  \n",
       "82   ADRA2C;F2RL1;GPR37L1;CCL13;TAC1;HCAR2;OXTR;PPB...  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show table here\n",
    "res_reactome.results.sort_values('Adjusted P-value')[res_reactome.results['Adjusted P-value']<0.05]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [],
   "source": [
    "# same analysis forKEGG pathjways\n",
    "res = gp.enrich(gene_list = gene_list, gene_sets=['KEGG_2021_Human'], background = bckg)\n",
    "res.results.sort_values('Adjusted P-value').to_csv(panda_folder + 'kegg_enrichment.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Gene_set</th>\n",
       "      <th>Term</th>\n",
       "      <th>P-value</th>\n",
       "      <th>Adjusted P-value</th>\n",
       "      <th>Old P-value</th>\n",
       "      <th>Old adjusted P-value</th>\n",
       "      <th>Odds Ratio</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>TGF-beta signaling pathway</td>\n",
       "      <td>0.000025</td>\n",
       "      <td>0.007706</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.019988</td>\n",
       "      <td>32.018985</td>\n",
       "      <td>ACVR1;LEFTY1;CDKN2B;TGIF2;SMAD3;TGFB3;FST;INHB...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Transcriptional misregulation in cancer</td>\n",
       "      <td>0.000118</td>\n",
       "      <td>0.018350</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.216701</td>\n",
       "      <td>20.042434</td>\n",
       "      <td>CDKN1A;ITGAM;MAX;HDAC1;PRCC;PLAT;FOXO1;HOXA11;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Cytokine-cytokine receptor interaction</td>\n",
       "      <td>0.000186</td>\n",
       "      <td>0.018861</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.010018</td>\n",
       "      <td>17.264902</td>\n",
       "      <td>CCL13;CSF3;CXCL9;CCL11;CSF3R;IL24;CSF2RB;TNFRS...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Antigen processing and presentation</td>\n",
       "      <td>0.000243</td>\n",
       "      <td>0.018861</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3.149237</td>\n",
       "      <td>26.204571</td>\n",
       "      <td>CIITA;HSP90AB1;NFYA;TAP2;TAP1;HSPA2;HLA-DMA;RF...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Amoebiasis</td>\n",
       "      <td>0.003167</td>\n",
       "      <td>0.160636</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.233692</td>\n",
       "      <td>12.854618</td>\n",
       "      <td>ARG2;ITGAM;TGFB3;LAMA1;FN1;PRKCA;CXCL1;LAMB1;A...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Asthma</td>\n",
       "      <td>0.003300</td>\n",
       "      <td>0.160636</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4.703155</td>\n",
       "      <td>26.872568</td>\n",
       "      <td>HLA-DMA;CCL11;HLA-DRA;HLA-DOA;HLA-DOB;HLA-DQA2...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Viral protein interaction with cytokine and cy...</td>\n",
       "      <td>0.003627</td>\n",
       "      <td>0.160636</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.259149</td>\n",
       "      <td>12.694775</td>\n",
       "      <td>CCL13;CCL24;CXCL9;CCL11;IL24;TNFRSF10B;TNFRSF1...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Gastric cancer</td>\n",
       "      <td>0.004165</td>\n",
       "      <td>0.161397</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.930048</td>\n",
       "      <td>10.578635</td>\n",
       "      <td>SHC2;CDKN1A;ABCB1;SHC3;WNT2B;LEF1;FZD10;FGF9;C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Pathways in cancer</td>\n",
       "      <td>0.005310</td>\n",
       "      <td>0.182896</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.427834</td>\n",
       "      <td>7.479262</td>\n",
       "      <td>CDKN1A;CSF3R;HSP90AB1;WNT2B;FZD10;CALML4;IGF1R...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Hematopoietic cell lineage</td>\n",
       "      <td>0.006425</td>\n",
       "      <td>0.199182</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.169620</td>\n",
       "      <td>10.951211</td>\n",
       "      <td>CSF3;CR2;CSF3R;ITGAM;ITGB3;CD3E;EPOR;HLA-DMA;C...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Arachidonic acid metabolism</td>\n",
       "      <td>0.008714</td>\n",
       "      <td>0.225115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2.623951</td>\n",
       "      <td>12.444904</td>\n",
       "      <td>CYP2J2;GPX2;PLA2G2D;CYP2B6;EPHX2;PLA2G4C;TBXAS...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Epstein-Barr virus infection</td>\n",
       "      <td>0.008573</td>\n",
       "      <td>0.225115</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.653242</td>\n",
       "      <td>7.867921</td>\n",
       "      <td>CDKN1A;HDAC1;CD3E;IKBKB;HLA-DMA;BCL2L11;SIN3A;...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Neuroactive ligand-receptor interaction</td>\n",
       "      <td>0.011685</td>\n",
       "      <td>0.273408</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.746951</td>\n",
       "      <td>7.773030</td>\n",
       "      <td>OXTR;CHRNA3;NPFFR1;CHRNA7;PTGER3;HTR4;HRH1;UCN...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Calcium signaling pathway</td>\n",
       "      <td>0.013035</td>\n",
       "      <td>0.273408</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.652889</td>\n",
       "      <td>7.173674</td>\n",
       "      <td>OXTR;CHRNA7;PTGER3;CALML4;ADCY1;CACNA1C;HTR4;G...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>KEGG_2021_Human</td>\n",
       "      <td>Signaling pathways regulating pluripotency of ...</td>\n",
       "      <td>0.013804</td>\n",
       "      <td>0.273408</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1.789969</td>\n",
       "      <td>7.666095</td>\n",
       "      <td>ACVR1;ZFHX3;LEFTY1;SMAD3;WNT2B;SETDB1;HOXD1;IN...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           Gene_set                                               Term  \\\n",
       "0   KEGG_2021_Human                         TGF-beta signaling pathway   \n",
       "1   KEGG_2021_Human            Transcriptional misregulation in cancer   \n",
       "2   KEGG_2021_Human             Cytokine-cytokine receptor interaction   \n",
       "3   KEGG_2021_Human                Antigen processing and presentation   \n",
       "4   KEGG_2021_Human                                         Amoebiasis   \n",
       "5   KEGG_2021_Human                                             Asthma   \n",
       "6   KEGG_2021_Human  Viral protein interaction with cytokine and cy...   \n",
       "7   KEGG_2021_Human                                     Gastric cancer   \n",
       "8   KEGG_2021_Human                                 Pathways in cancer   \n",
       "9   KEGG_2021_Human                         Hematopoietic cell lineage   \n",
       "11  KEGG_2021_Human                        Arachidonic acid metabolism   \n",
       "10  KEGG_2021_Human                       Epstein-Barr virus infection   \n",
       "12  KEGG_2021_Human            Neuroactive ligand-receptor interaction   \n",
       "13  KEGG_2021_Human                          Calcium signaling pathway   \n",
       "14  KEGG_2021_Human  Signaling pathways regulating pluripotency of ...   \n",
       "\n",
       "     P-value  Adjusted P-value  Old P-value  Old adjusted P-value  Odds Ratio  \\\n",
       "0   0.000025          0.007706            0                     0    3.019988   \n",
       "1   0.000118          0.018350            0                     0    2.216701   \n",
       "2   0.000186          0.018861            0                     0    2.010018   \n",
       "3   0.000243          0.018861            0                     0    3.149237   \n",
       "4   0.003167          0.160636            0                     0    2.233692   \n",
       "5   0.003300          0.160636            0                     0    4.703155   \n",
       "6   0.003627          0.160636            0                     0    2.259149   \n",
       "7   0.004165          0.161397            0                     0    1.930048   \n",
       "8   0.005310          0.182896            0                     0    1.427834   \n",
       "9   0.006425          0.199182            0                     0    2.169620   \n",
       "11  0.008714          0.225115            0                     0    2.623951   \n",
       "10  0.008573          0.225115            0                     0    1.653242   \n",
       "12  0.011685          0.273408            0                     0    1.746951   \n",
       "13  0.013035          0.273408            0                     0    1.652889   \n",
       "14  0.013804          0.273408            0                     0    1.789969   \n",
       "\n",
       "    Combined Score                                              Genes  \n",
       "0        32.018985  ACVR1;LEFTY1;CDKN2B;TGIF2;SMAD3;TGFB3;FST;INHB...  \n",
       "1        20.042434  CDKN1A;ITGAM;MAX;HDAC1;PRCC;PLAT;FOXO1;HOXA11;...  \n",
       "2        17.264902  CCL13;CSF3;CXCL9;CCL11;CSF3R;IL24;CSF2RB;TNFRS...  \n",
       "3        26.204571  CIITA;HSP90AB1;NFYA;TAP2;TAP1;HSPA2;HLA-DMA;RF...  \n",
       "4        12.854618  ARG2;ITGAM;TGFB3;LAMA1;FN1;PRKCA;CXCL1;LAMB1;A...  \n",
       "5        26.872568  HLA-DMA;CCL11;HLA-DRA;HLA-DOA;HLA-DOB;HLA-DQA2...  \n",
       "6        12.694775  CCL13;CCL24;CXCL9;CCL11;IL24;TNFRSF10B;TNFRSF1...  \n",
       "7        10.578635  SHC2;CDKN1A;ABCB1;SHC3;WNT2B;LEF1;FZD10;FGF9;C...  \n",
       "8         7.479262  CDKN1A;CSF3R;HSP90AB1;WNT2B;FZD10;CALML4;IGF1R...  \n",
       "9        10.951211  CSF3;CR2;CSF3R;ITGAM;ITGB3;CD3E;EPOR;HLA-DMA;C...  \n",
       "11       12.444904  CYP2J2;GPX2;PLA2G2D;CYP2B6;EPHX2;PLA2G4C;TBXAS...  \n",
       "10        7.867921  CDKN1A;HDAC1;CD3E;IKBKB;HLA-DMA;BCL2L11;SIN3A;...  \n",
       "12        7.773030  OXTR;CHRNA3;NPFFR1;CHRNA7;PTGER3;HTR4;HRH1;UCN...  \n",
       "13        7.173674  OXTR;CHRNA7;PTGER3;CALML4;ADCY1;CACNA1C;HTR4;G...  \n",
       "14        7.666095  ACVR1;ZFHX3;LEFTY1;SMAD3;WNT2B;SETDB1;HOXD1;IN...  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "res.results.sort_values(by = 'Adjusted P-value').head(15)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## What happens in these pathways?\n",
    "\n",
    "We check what happens for the top KEGG pathways:\n",
    "For Cluster D\n",
    "- transcriptional misregulation in cancer\n",
    "- TGF-beta signaling pathway\n",
    "\n",
    "For Cluster A (adjuster pvalues are not really significant, but we can check the top ones)\n",
    "- Pathways in cancer\n",
    "- Transcriptional misregulation of cancer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We look now into the TGF-beta signaling pathway pathway\n"
     ]
    }
   ],
   "source": [
    "# select which term (0: first, 1: second...)\n",
    "row_number = 0\n",
    "pathway = res.results.sort_values(by = 'Adjusted P-value').iloc[row_number,:].Term\n",
    "pathway_prefix = '_'.join(pathway.split(' '))\n",
    "genes_oi = res.results.sort_values(by = 'Adjusted P-value').iloc[row_number,:].Genes.split(';')\n",
    "\n",
    "print(\"We look now into the %s pathway\" %pathway)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot relatiionship between PANDA cms2 and cms4 values\n",
    "f,ax = plt.subplots(1,figsize = (5,5))\n",
    "sns.scatterplot(x = 'cms2', y = 'cms4', data = temp[temp.symbol.isin(genes_oi)], hue = 'rank_cms2_cms4_abs')\n",
    "f.suptitle(pathway)\n",
    "ax.set_xlabel('CMS2 PANDA')\n",
    "ax.set_ylabel('CMS4 PANDA')\n",
    "f.savefig(panda_folder+pathway_prefix+'.pdf')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Plot actual PANDA values of targets of interest for the top pathways"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "def plot_panda_pathway(res, filtered_panda, output_folder, n_pathways = 2):\n",
    "    \n",
    "    for i in range(n_pathways):\n",
    "        # select which term (0: first, 1: second...)\n",
    "        row_number = i\n",
    "        pathway = res.results.sort_values(by = 'Adjusted P-value').iloc[row_number,:].Term\n",
    "        adjpval =  res.results.sort_values(by = 'Adjusted P-value').iloc[row_number,:]['Adjusted P-value']\n",
    "        pathway_prefix = '_'.join(pathway.split(' '))\n",
    "        genes_oi = res.results.sort_values(by = 'Adjusted P-value').iloc[row_number,:].Genes.split(';')\n",
    "\n",
    "        print(\"We look now into the %s pathway\" %pathway)\n",
    "        \n",
    "        # cms2 values\n",
    "        aaa = pd.pivot_table(filtered_panda[filtered_panda.symbol.isin(genes_oi)], columns = 'symbol', index = 'tf', values = 'cms2')\n",
    "        # cms4 values\n",
    "        bbb = pd.pivot_table(filtered_panda[filtered_panda.symbol.isin(genes_oi)], columns = 'symbol', index = 'tf', values = 'cms4')\n",
    "            \n",
    "        filtered_panda['edge'] = filtered_panda['tf'] + '-' + filtered_panda['symbol']\n",
    "        filtered_panda = filtered_panda.sort_values(by = 'tf')\n",
    "        mydata = (filtered_panda[filtered_panda.symbol.isin(genes_oi)].loc[:,['edge','cms2','cms4']]).set_index('edge').T\n",
    "        sns.set_context(\"paper\", font_scale=1)\n",
    "        g1 = sns.clustermap(mydata, cmap = 'coolwarm', center = 1, \n",
    "                    xticklabels = True, \n",
    "                    row_cluster=False,\n",
    "                    figsize = (14,4),\n",
    "                    cbar_pos = (0.02, 0.8, 0.1, 0.1),\n",
    "                    # add title to cbar and put the name on top of cbar\n",
    "                    cbar_kws = {'label': 'PANDA value', 'orientation': 'horizontal'},\n",
    "                    #\n",
    "                    dendrogram_ratio=.1\n",
    "                    )\n",
    "        # title needs to be above the figure, not overlapped with the dendrogram\n",
    "        \n",
    "        # adjust ratio between cbar and plot\n",
    "        g1.cax.set_position([.05, .8, .05, .2])                   \n",
    "        \n",
    "        g1.fig.suptitle('%s: %s (%s)' %(cluster_name, pathway, str('FDR = %.3f' %adjpval)), y=1.05)\n",
    "        \n",
    "        #g1.fig.suptitle('%s: %s (%s)' %(cluster_name, pathway, str('FDR = %.3f' %adjpval)))\n",
    "        g1.fig.savefig(panda_folder+cluster_name + '_'+pathway_prefix+'.pdf', bbox_inches = 'tight')\n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "We look now into the TGF-beta signaling pathway pathway\n",
      "We look now into the Transcriptional misregulation in cancer pathway\n",
      "We look now into the Cytokine-cytokine receptor interaction pathway\n",
      "We look now into the Antigen processing and presentation pathway\n",
      "We look now into the Amoebiasis pathway\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1400x400 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plot_panda_pathway(res, temp, output_folder=output_folder, n_pathways = 5)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "nb",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.12.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
